<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
  <channel>
    <title>Data Engineer (Databricks) - Syntax Consultancy Ltd RSS Feed</title>
    <link>https://jobs.co.uk/job/data-engineer-databricks-syntax-consultancy-ltd--6d21b95c-5d85-42f4-9fc0-bda643adefc2</link>
    <description>RSS feed for Data Engineer (Databricks) at Syntax Consultancy Ltd.</description>
    <language>en-gb</language>
    <lastBuildDate>Wed, 07 Oct 2026 18:51:13 GMT</lastBuildDate>
    <item>
      <title>Data Engineer (Databricks) - Syntax Consultancy Ltd</title>
      <link>https://jobs.co.uk/job/data-engineer-databricks-syntax-consultancy-ltd--6d21b95c-5d85-42f4-9fc0-bda643adefc2</link>
      <guid>https://jobs.co.uk/job/data-engineer-databricks-syntax-consultancy-ltd--6d21b95c-5d85-42f4-9fc0-bda643adefc2</guid>
      <pubDate>Mon, 05 Oct 2026 23:00:00 GMT</pubDate>
      <description>Location: Leeds | Salary: &amp;pound;500 - &amp;pound;550/day 500-550/day (Inside IR35) | Type: Contract | Data Engineer (Databricks) Leeds (Hybrid) 6 Month Contract £(Apply online only)/day (Inside IR35)    Data Engineer  needed with strong hands-on Databricks, PySpark, AWS, SQL + Python experience.  6 Month Contract based in  Leeds  (Hybrid). Start ASAP in October 2026.  Hybrid Working Model - primarily working from home with travel to the  Leeds  office 1-2 days per month.  A chance to work with a leading global IT transformation on a large-scale Government project:  	  Data Engineer  with strong Databricks, AWS, Python, PySpark + SQL skills. 	 Hands-on  Data Engineer  to run + maintain production data pipelines on Databricks and AWS. 	 Keeping scheduled data processing reliable, resolve incidents, fixes + improving data services performance. 	 The role combines L2/L3 production support and Data Engineering tasks. 	 Databricks experience covering notebooks, scheduled jobs, cluster configuration, driver / executor logs, Spark UI + performance troubleshooting. 	 Supporting + maintaining production data pipelines, including incident investigation, safe recovery, root cause analysis + permanent remediation. 	 Experience of Spark SQL, Delta Lake, Parquet + Hive metastore tables, including...</description>
      <category>Contract</category>
    </item>
  </channel>
</rss>